{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제55_빈집_투표\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 Jul 2025, 14:46:17

{com}. gen ln_population_density = ln( population_density )

. 
. gen ln_economy = ln( average_premium )

. 
. encode district, gen(district_1)

. 
. xtset district_1 year
{res}{txt}{col 8}panel variable:  {res}district_1 (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}year, 2016 to 2022, but with gaps
{txt}{col 17}delta:  {res}1 unit

{com}. reg turn_out vacant_rate ln_population_density ln_economy palma high_edu homeownership mean_age sex_ratio urbanization presidential capital_region honam_region youngnam_region gangwon_region chungcheong_region

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,008
{txt}{hline 13}{c +}{hline 34}   F(15, 992)      = {res}   523.32
{txt}       Model {c |} {res} 6.35695568        15  .423797045   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} .803338518       992  .000809817   {txt}R-squared       ={res}    0.8878
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.8861
{txt}       Total {c |} {res}  7.1602942     1,007  .007110521   {txt}Root MSE        =   {res} .02846

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             turn_out{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}vacant_rate {c |}{col 23}{res}{space 2}-.2308015{col 35}{space 2} .0316785{col 46}{space 1}   -7.29{col 55}{space 3}0.000{col 63}{space 4} -.292966{col 76}{space 3} -.168637
{txt}ln_population_density {c |}{col 23}{res}{space 2} -.002413{col 35}{space 2} .0010784{col 46}{space 1}   -2.24{col 55}{space 3}0.025{col 63}{space 4}-.0045291{col 76}{space 3}-.0002968
{txt}{space 11}ln_economy {c |}{col 23}{res}{space 2} .0628483{col 35}{space 2} .0109785{col 46}{space 1}    5.72{col 55}{space 3}0.000{col 63}{space 4} .0413046{col 76}{space 3}  .084392
{txt}{space 16}palma {c |}{col 23}{res}{space 2} .0030107{col 35}{space 2} .0011637{col 46}{space 1}    2.59{col 55}{space 3}0.010{col 63}{space 4} .0007272{col 76}{space 3} .0052942
{txt}{space 13}high_edu {c |}{col 23}{res}{space 2} .0701412{col 35}{space 2} .0144014{col 46}{space 1}    4.87{col 55}{space 3}0.000{col 63}{space 4} .0418805{col 76}{space 3} .0984019
{txt}{space 8}homeownership {c |}{col 23}{res}{space 2} .0069991{col 35}{space 2} .0010073{col 46}{space 1}    6.95{col 55}{space 3}0.000{col 63}{space 4} .0050225{col 76}{space 3} .0089758
{txt}{space 13}mean_age {c |}{col 23}{res}{space 2}  .002649{col 35}{space 2} .0003707{col 46}{space 1}    7.15{col 55}{space 3}0.000{col 63}{space 4} .0019215{col 76}{space 3} .0033765
{txt}{space 12}sex_ratio {c |}{col 23}{res}{space 2}  .000655{col 35}{space 2} .0000324{col 46}{space 1}   20.21{col 55}{space 3}0.000{col 63}{space 4} .0005914{col 76}{space 3} .0007186
{txt}{space 9}urbanization {c |}{col 23}{res}{space 2}-.0002404{col 35}{space 2} .0000921{col 46}{space 1}   -2.61{col 55}{space 3}0.009{col 63}{space 4}-.0004211{col 76}{space 3}-.0000597
{txt}{space 9}presidential {c |}{col 23}{res}{space 2}   .10436{col 35}{space 2} .0023093{col 46}{space 1}   45.19{col 55}{space 3}0.000{col 63}{space 4} .0998284{col 76}{space 3} .1088916
{txt}{space 7}capital_region {c |}{col 23}{res}{space 2}-.0522162{col 35}{space 2} .0146517{col 46}{space 1}   -3.56{col 55}{space 3}0.000{col 63}{space 4} -.080968{col 76}{space 3}-.0234644
{txt}{space 9}honam_region {c |}{col 23}{res}{space 2}-.0099776{col 35}{space 2} .0146673{col 46}{space 1}   -0.68{col 55}{space 3}0.496{col 63}{space 4}-.0387601{col 76}{space 3} .0188049
{txt}{space 6}youngnam_region {c |}{col 23}{res}{space 2}-.0415248{col 35}{space 2}   .01462{col 46}{space 1}   -2.84{col 55}{space 3}0.005{col 63}{space 4}-.0702145{col 76}{space 3}-.0128351
{txt}{space 7}gangwon_region {c |}{col 23}{res}{space 2}-.0438138{col 35}{space 2} .0149986{col 46}{space 1}   -2.92{col 55}{space 3}0.004{col 63}{space 4}-.0732464{col 76}{space 3}-.0143812
{txt}{space 3}chungcheong_region {c |}{col 23}{res}{space 2}-.0616782{col 35}{space 2} .0146343{col 46}{space 1}   -4.21{col 55}{space 3}0.000{col 63}{space 4}-.0903959{col 76}{space 3}-.0329605
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.1860977{col 35}{space 2} .1246821{col 46}{space 1}   -1.49{col 55}{space 3}0.136{col 63}{space 4}-.4307686{col 76}{space 3} .0585732
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. 
. 
. fracreg probit turn_out vacant_rate ln_population_density ln_economy palma high_edu homeownership mean_age sex_ratio urbanization presidential capital_region honam_region youngnam_region gangwon_region chungcheong_region, 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-614.41992}  
Iteration 1:{space 3}log pseudolikelihood = {res:-599.75862}  
Iteration 2:{space 3}log pseudolikelihood = {res:-599.74827}  
Iteration 3:{space 3}log pseudolikelihood = {res:-599.74827}  
{res}
{txt}Fractional probit regression{col 49}Number of obs{col 67}= {res}     1,008
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   8233.47
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-599.74827{txt}{col 49}Pseudo R2{col 67}= {res}    0.0246

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             turn_out{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}vacant_rate {c |}{col 23}{res}{space 2}-.6977972{col 35}{space 2} .1092226{col 46}{space 1}   -6.39{col 55}{space 3}0.000{col 63}{space 4}-.9118695{col 76}{space 3}-.4837249
{txt}ln_population_density {c |}{col 23}{res}{space 2}-.0077577{col 35}{space 2} .0032451{col 46}{space 1}   -2.39{col 55}{space 3}0.017{col 63}{space 4}-.0141179{col 76}{space 3}-.0013975
{txt}{space 11}ln_economy {c |}{col 23}{res}{space 2} .1930715{col 35}{space 2} .0322215{col 46}{space 1}    5.99{col 55}{space 3}0.000{col 63}{space 4} .1299186{col 76}{space 3} .2562245
{txt}{space 16}palma {c |}{col 23}{res}{space 2}  .008774{col 35}{space 2} .0042164{col 46}{space 1}    2.08{col 55}{space 3}0.037{col 63}{space 4} .0005099{col 76}{space 3}  .017038
{txt}{space 13}high_edu {c |}{col 23}{res}{space 2}  .208935{col 35}{space 2} .0473404{col 46}{space 1}    4.41{col 55}{space 3}0.000{col 63}{space 4} .1161496{col 76}{space 3} .3017205
{txt}{space 8}homeownership {c |}{col 23}{res}{space 2} .0192737{col 35}{space 2} .0037267{col 46}{space 1}    5.17{col 55}{space 3}0.000{col 63}{space 4} .0119695{col 76}{space 3} .0265778
{txt}{space 13}mean_age {c |}{col 23}{res}{space 2} .0081531{col 35}{space 2} .0010978{col 46}{space 1}    7.43{col 55}{space 3}0.000{col 63}{space 4} .0060014{col 76}{space 3} .0103049
{txt}{space 12}sex_ratio {c |}{col 23}{res}{space 2} .0016876{col 35}{space 2} .0000969{col 46}{space 1}   17.42{col 55}{space 3}0.000{col 63}{space 4} .0014978{col 76}{space 3} .0018775
{txt}{space 9}urbanization {c |}{col 23}{res}{space 2}-.0007637{col 35}{space 2} .0003456{col 46}{space 1}   -2.21{col 55}{space 3}0.027{col 63}{space 4} -.001441{col 76}{space 3}-.0000863
{txt}{space 9}presidential {c |}{col 23}{res}{space 2} .3128889{col 35}{space 2} .0061703{col 46}{space 1}   50.71{col 55}{space 3}0.000{col 63}{space 4} .3007952{col 76}{space 3} .3249825
{txt}{space 7}capital_region {c |}{col 23}{res}{space 2}-.1554698{col 35}{space 2} .0269322{col 46}{space 1}   -5.77{col 55}{space 3}0.000{col 63}{space 4}-.2082559{col 76}{space 3}-.1026836
{txt}{space 9}honam_region {c |}{col 23}{res}{space 2}-.0280093{col 35}{space 2}   .02684{col 46}{space 1}   -1.04{col 55}{space 3}0.297{col 63}{space 4}-.0806147{col 76}{space 3} .0245961
{txt}{space 6}youngnam_region {c |}{col 23}{res}{space 2}-.1239585{col 35}{space 2} .0265288{col 46}{space 1}   -4.67{col 55}{space 3}0.000{col 63}{space 4} -.175954{col 76}{space 3}-.0719631
{txt}{space 7}gangwon_region {c |}{col 23}{res}{space 2}-.1319603{col 35}{space 2} .0273382{col 46}{space 1}   -4.83{col 55}{space 3}0.000{col 63}{space 4}-.1855422{col 76}{space 3}-.0783784
{txt}{space 3}chungcheong_region {c |}{col 23}{res}{space 2}-.1833249{col 35}{space 2} .0268034{col 46}{space 1}   -6.84{col 55}{space 3}0.000{col 63}{space 4}-.2358586{col 76}{space 3}-.1307912
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-2.149202{col 35}{space 2} .3570798{col 46}{space 1}   -6.02{col 55}{space 3}0.000{col 63}{space 4}-2.849066{col 76}{space 3}-1.449339
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. xtreg turn_out vacant_rate ln_population_density ln_economy palma high_edu homeownership mean_age sex_ratio urbanization presidential capital_region honam_region youngnam_region gangwon_region chungcheong_region , re 
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,008
{txt}Group variable: {res}district_1                      {txt}Number of groups  = {res}       252

{txt}R-sq:                                           Obs per group:
     within  = {res}0.9413                                         {txt}min = {res}         4
{txt}     between = {res}0.5720                                         {txt}avg = {res}       4.0
{txt}     overall = {res}0.8862                                         {txt}max = {res}         4

                                                {txt}Wald chi2({res}15{txt})     =  {res} 12237.23
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             turn_out{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}vacant_rate {c |}{col 23}{res}{space 2}-.2224086{col 35}{space 2} .0407989{col 46}{space 1}   -5.45{col 55}{space 3}0.000{col 63}{space 4} -.302373{col 76}{space 3}-.1424442
{txt}ln_population_density {c |}{col 23}{res}{space 2}-.0017998{col 35}{space 2}  .001476{col 46}{space 1}   -1.22{col 55}{space 3}0.223{col 63}{space 4}-.0046928{col 76}{space 3} .0010932
{txt}{space 11}ln_economy {c |}{col 23}{res}{space 2} .0352771{col 35}{space 2} .0111813{col 46}{space 1}    3.16{col 55}{space 3}0.002{col 63}{space 4} .0133621{col 76}{space 3}  .057192
{txt}{space 16}palma {c |}{col 23}{res}{space 2} .0063956{col 35}{space 2} .0014217{col 46}{space 1}    4.50{col 55}{space 3}0.000{col 63}{space 4} .0036091{col 76}{space 3} .0091822
{txt}{space 13}high_edu {c |}{col 23}{res}{space 2} .0432407{col 35}{space 2} .0180107{col 46}{space 1}    2.40{col 55}{space 3}0.016{col 63}{space 4} .0079404{col 76}{space 3} .0785409
{txt}{space 8}homeownership {c |}{col 23}{res}{space 2} .0047572{col 35}{space 2} .0012305{col 46}{space 1}    3.87{col 55}{space 3}0.000{col 63}{space 4} .0023454{col 76}{space 3}  .007169
{txt}{space 13}mean_age {c |}{col 23}{res}{space 2} .0027446{col 35}{space 2} .0004516{col 46}{space 1}    6.08{col 55}{space 3}0.000{col 63}{space 4} .0018596{col 76}{space 3} .0036297
{txt}{space 12}sex_ratio {c |}{col 23}{res}{space 2} .0007076{col 35}{space 2} .0000271{col 46}{space 1}   26.12{col 55}{space 3}0.000{col 63}{space 4} .0006545{col 76}{space 3} .0007606
{txt}{space 9}urbanization {c |}{col 23}{res}{space 2}-.0001858{col 35}{space 2} .0001074{col 46}{space 1}   -1.73{col 55}{space 3}0.084{col 63}{space 4}-.0003963{col 76}{space 3} .0000247
{txt}{space 9}presidential {c |}{col 23}{res}{space 2} .1020219{col 35}{space 2} .0018579{col 46}{space 1}   54.91{col 55}{space 3}0.000{col 63}{space 4} .0983804{col 76}{space 3} .1056634
{txt}{space 7}capital_region {c |}{col 23}{res}{space 2} -.056271{col 35}{space 2} .0219655{col 46}{space 1}   -2.56{col 55}{space 3}0.010{col 63}{space 4}-.0993226{col 76}{space 3}-.0132193
{txt}{space 9}honam_region {c |}{col 23}{res}{space 2}-.0121891{col 35}{space 2} .0220255{col 46}{space 1}   -0.55{col 55}{space 3}0.580{col 63}{space 4}-.0553583{col 76}{space 3} .0309801
{txt}{space 6}youngnam_region {c |}{col 23}{res}{space 2}-.0458521{col 35}{space 2} .0219346{col 46}{space 1}   -2.09{col 55}{space 3}0.037{col 63}{space 4} -.088843{col 76}{space 3}-.0028611
{txt}{space 7}gangwon_region {c |}{col 23}{res}{space 2}-.0492107{col 35}{space 2} .0224382{col 46}{space 1}   -2.19{col 55}{space 3}0.028{col 63}{space 4}-.0931887{col 76}{space 3}-.0052327
{txt}{space 3}chungcheong_region {c |}{col 23}{res}{space 2}-.0644293{col 35}{space 2} .0219705{col 46}{space 1}   -2.93{col 55}{space 3}0.003{col 63}{space 4}-.1074906{col 76}{space 3} -.021368
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}  .125619{col 35}{space 2} .1222995{col 46}{space 1}    1.03{col 55}{space 3}0.304{col 63}{space 4}-.1140835{col 76}{space 3} .3653215
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} .01797979
              {txt}sigma_e {c |} {res} .02147709
                  {txt}rho {c |} {res} .41205493{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}

{com}. 
. 
. 
. xtreg turn_out vacant_rate ln_population_density ln_economy palma high_edu homeownership mean_age sex_ratio urbanization presidential , fe 
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,008
{txt}Group variable: {res}district_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       252

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.9435{col 63}{txt}min{col 67}={col 69}{res}         4
{txt}     between = {res}0.0893{col 63}{txt}avg{col 67}={col 69}{res}       4.0
{txt}     overall = {res}0.4245{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}10{txt},{res}746{txt}){col 67}={col 70}{res}  1245.98
{txt}corr(u_i, Xb){col 16}= {res}-0.7309{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             turn_out{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}vacant_rate {c |}{col 23}{res}{space 2}-.1610236{col 35}{space 2} .0682278{col 46}{space 1}   -2.36{col 55}{space 3}0.019{col 63}{space 4} -.294965{col 76}{space 3}-.0270822
{txt}ln_population_density {c |}{col 23}{res}{space 2}-.0337276{col 35}{space 2} .0222859{col 46}{space 1}   -1.51{col 55}{space 3}0.131{col 63}{space 4}-.0774781{col 76}{space 3} .0100229
{txt}{space 11}ln_economy {c |}{col 23}{res}{space 2}-.0352394{col 35}{space 2} .0236718{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-.0817107{col 76}{space 3} .0112319
{txt}{space 16}palma {c |}{col 23}{res}{space 2} .0125947{col 35}{space 2} .0034947{col 46}{space 1}    3.60{col 55}{space 3}0.000{col 63}{space 4} .0057341{col 76}{space 3} .0194553
{txt}{space 13}high_edu {c |}{col 23}{res}{space 2}-.0402727{col 35}{space 2} .0289943{col 46}{space 1}   -1.39{col 55}{space 3}0.165{col 63}{space 4} -.097193{col 76}{space 3} .0166475
{txt}{space 8}homeownership {c |}{col 23}{res}{space 2} .0016192{col 35}{space 2} .0020199{col 46}{space 1}    0.80{col 55}{space 3}0.423{col 63}{space 4}-.0023462{col 76}{space 3} .0055846
{txt}{space 13}mean_age {c |}{col 23}{res}{space 2} .0055013{col 35}{space 2} .0013775{col 46}{space 1}    3.99{col 55}{space 3}0.000{col 63}{space 4} .0027971{col 76}{space 3} .0082055
{txt}{space 12}sex_ratio {c |}{col 23}{res}{space 2} .0007644{col 35}{space 2} .0000301{col 46}{space 1}   25.41{col 55}{space 3}0.000{col 63}{space 4} .0007053{col 76}{space 3} .0008234
{txt}{space 9}urbanization {c |}{col 23}{res}{space 2} -.000124{col 35}{space 2} .0001462{col 46}{space 1}   -0.85{col 55}{space 3}0.397{col 63}{space 4} -.000411{col 76}{space 3}  .000163
{txt}{space 9}presidential {c |}{col 23}{res}{space 2} .0987349{col 35}{space 2} .0020939{col 46}{space 1}   47.15{col 55}{space 3}0.000{col 63}{space 4} .0946243{col 76}{space 3} .1028454
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}  .985713{col 35}{space 2}  .213318{col 46}{space 1}    4.62{col 55}{space 3}0.000{col 63}{space 4} .5669381{col 76}{space 3} 1.404488
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} .08986815
              {txt}sigma_e {c |} {res} .02147709
                  {txt}rho {c |} {res} .94597215{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}
F test that all u_i=0: F({res}251{txt}, {res}746{txt}) = {res}5.76{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg turn_out vacant_rate ln_population_density ln_economy palma high_edu homeownership mean_age sex_ratio urbanization presidential i.year, fe 
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,008
{txt}Group variable: {res}district_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       252

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.9441{col 63}{txt}min{col 67}={col 69}{res}         4
{txt}     between = {res}0.0883{col 63}{txt}avg{col 67}={col 69}{res}       4.0
{txt}     overall = {res}0.4686{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}13{txt},{res}743{txt}){col 67}={col 70}{res}   965.12
{txt}corr(u_i, Xb){col 16}= {res}-0.6861{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             turn_out{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}vacant_rate {c |}{col 23}{res}{space 2}-.1409776{col 35}{space 2} .0689088{col 46}{space 1}   -2.05{col 55}{space 3}0.041{col 63}{space 4}-.2762568{col 76}{space 3}-.0056985
{txt}ln_population_density {c |}{col 23}{res}{space 2}-.0261363{col 35}{space 2} .0225703{col 46}{space 1}   -1.16{col 55}{space 3}0.247{col 63}{space 4}-.0704455{col 76}{space 3} .0181728
{txt}{space 11}ln_economy {c |}{col 23}{res}{space 2}-.1066809{col 35}{space 2} .0517175{col 46}{space 1}   -2.06{col 55}{space 3}0.039{col 63}{space 4}-.2082108{col 76}{space 3}-.0051511
{txt}{space 16}palma {c |}{col 23}{res}{space 2} .0142917{col 35}{space 2} .0037541{col 46}{space 1}    3.81{col 55}{space 3}0.000{col 63}{space 4} .0069218{col 76}{space 3} .0216615
{txt}{space 13}high_edu {c |}{col 23}{res}{space 2}-.0382492{col 35}{space 2} .0289126{col 46}{space 1}   -1.32{col 55}{space 3}0.186{col 63}{space 4}-.0950094{col 76}{space 3} .0185109
{txt}{space 8}homeownership {c |}{col 23}{res}{space 2} .0015038{col 35}{space 2} .0020268{col 46}{space 1}    0.74{col 55}{space 3}0.458{col 63}{space 4}-.0024753{col 76}{space 3} .0054828
{txt}{space 13}mean_age {c |}{col 23}{res}{space 2} .0046286{col 35}{space 2} .0018557{col 46}{space 1}    2.49{col 55}{space 3}0.013{col 63}{space 4} .0009856{col 76}{space 3} .0082715
{txt}{space 12}sex_ratio {c |}{col 23}{res}{space 2} .0000682{col 35}{space 2} .0002977{col 46}{space 1}    0.23{col 55}{space 3}0.819{col 63}{space 4}-.0005163{col 76}{space 3} .0006526
{txt}{space 9}urbanization {c |}{col 23}{res}{space 2}-.0001064{col 35}{space 2} .0001462{col 46}{space 1}   -0.73{col 55}{space 3}0.467{col 63}{space 4}-.0003935{col 76}{space 3} .0001807
{txt}{space 9}presidential {c |}{col 23}{res}{space 2} .1760414{col 35}{space 2} .0322662{col 46}{space 1}    5.46{col 55}{space 3}0.000{col 63}{space 4} .1126976{col 76}{space 3} .2393852
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2017  {c |}{col 23}{res}{space 2}-.0055376{col 35}{space 2} .0124439{col 46}{space 1}   -0.45{col 55}{space 3}0.656{col 63}{space 4}-.0299669{col 76}{space 3} .0188918
{txt}{space 16}2020  {c |}{col 23}{res}{space 2} .0832609{col 35}{space 2} .0309453{col 46}{space 1}    2.69{col 55}{space 3}0.007{col 63}{space 4} .0225102{col 76}{space 3} .1440116
{txt}{space 16}2022  {c |}{col 23}{res}{space 2} .0094468{col 35}{space 2} .0169412{col 46}{space 1}    0.56{col 55}{space 3}0.577{col 63}{space 4}-.0238115{col 76}{space 3} .0427052
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} 1.778635{col 35}{space 2} .6140264{col 46}{space 1}    2.90{col 55}{space 3}0.004{col 63}{space 4} .5732017{col 76}{space 3} 2.984068
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} .08074069
              {txt}sigma_e {c |} {res} .02140934
                  {txt}rho {c |} {res} .93430812{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}
F test that all u_i=0: F({res}251{txt}, {res}743{txt}) = {res}5.63{col 62}{txt}Prob > F = {res}0.0000

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제55_빈집_투표\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 Jul 2025, 14:47:04
{txt}{.-}
{smcl}
{txt}{sf}{ul off}